Robotics & Machine Learning Daily News2024,Issue(Apr.19) :51-52.

Findings from East China University of Science and Technology Broaden Understand ing of Robotics (Outdoor Lidar-inertial Slam Using Ground Constraints)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :51-52.

Findings from East China University of Science and Technology Broaden Understand ing of Robotics (Outdoor Lidar-inertial Slam Using Ground Constraints)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Robotic s. According to news reporting originating from Shanghai, People’s Republic of C hina, by NewsRx correspondents, research stated, “The currentLiDAR-inertial odo metry is prone to cumulative Z-axis error when it runs for a long time. This err or caneasily lead to the failure to detect the loop-closing in the correct scen ario.”

Key words

Shanghai/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/East China Univers ity of Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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